AI Creative & Design Jobs

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The Opportunity We are seeking an experienced Cloud Security Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the security of our cloud infrastructure and applications. This includes ensuring compliance with regulatory requirements, identifying and mitigating security risks, and collaborating with DevOps teams to ensure secure cloud deployments.  Your Impact Design and implement secure cloud architectures and configurations Conduct cloud security assessments and risk analyses Implement and manage cloud security controls, such as firewalls, access controls, and encryption technologies Monitor cloud security logs and investigate security alerts Respond to security incidents and develop incident response plans Ensure cloud compliance with regulatory requirements, such as HIPAA, PCI-DSS, and GDPR Collaborate with DevOps teams to ensure secure cloud deployments Develop and deliver security awareness training programs Stay up-to-date with emerging cloud security threats and technologies We're looking for someone who 4+ years of experience in cloud security engineering Strong knowledge of cloud security architectures, controls, and compliance requirements Expertise in the security of public cloud platforms (e.g. AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems. Understand container security, network security, and cloud security services Experience building cloud security infrastructure (e.g. logging, monitoring vuln management, DLP)   Strong understanding of security frameworks, such as NIST and ISO 27001 Excellent problem-solving and analytical skills Strong communication and collaboration skills Bachelor's degree in Computer Science, Cybersecurity, or related field About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $210,000 USD per year This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.

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About EverestAt Everest, we believe executive assistants do meaningful, high-leverage work—and that work isn’t going anywhere. We're redefining executive support by turbocharging elite assistants with powerful agentic systems, so they can focus on the real work.Because the real work is hard. There's no AI workflow for getting a Great Dane from Rome to Rio. There's no automating the trust required to support the people whose work is shaping our world.So, what are we streamlining? Everything else.We're building AI-native infrastructure into the bones of our operations—orchestration and observability layers that balance deterministic systems with stochastic outcomes. We prioritize thoughtful and ethical approaches to deploying AI agents that don't replace people, but make them superhuman.We’re a small, senior team shipping the kind of agentic infrastructure most companies will still be demoing two years from now. You’ll help architect the core systems behind it, working closely with the world-class assistants who depend on it every day.Our executive assistants support some of the most influential people across tech and finance. They're not just our users—they're our stakeholders and collaborators. That means clearer priorities, better data, tighter feedback loops, and the flexibility to be decisive and take big swings.Core ResponsibilitiesDesign and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines.Own and evolve core infrastructure like context memory, orchestration layers, and prompt routing systems.Design composable multimodal systems that dynamically execute workflows from unstructured inputs (text, audio, video, images).Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines.Collaborate directly with internal EAs to pressure-test workflows in the real world.Help us make clear decisions about when to use LLMs vs. traditional systems—and how to do both well.Skills and Qualifications5+ years of experience in backend software engineering, preferably in Go or similar systems languages.Shipped agentic LLM systems to production (not prototypes, not demos).Built real-time systems, distributed async queues, or performance-critical services.Deep understanding of prompt engineering, token budgeting, and context management.Strong intuition for when to use AI—and when not to.Thrive in small teams with high trust and high ownership.Bonus PointsExperience with RAG, embedding stores, and vector DBs.Familiarity with tool orchestration frameworks.Understanding of the architectural tradeoffs of agentic systems, RAG, MCP, memory, and orchestrations.Know how to work with (and around) the limitations of cutting-edge LLM technologies.Background in AI safety, observability, or human-in-the-loop workflows.Prefer building systems that are simple, scalable, and "good enough," without sacrificing maintainability or future flexibility.Are fluent in small-team dynamics: high trust, low ego, shared accountability.Work EnvironmentLocation: Remote.Collaboration: You’ll work closely with our Engineering Lead and the small team shipping core product features weekly.Compensation and BenefitsSalary: Competitive, commensurate with experienceHealthcare: Medical, dental, and visionBenefits: 401k plan, short and long term disability, life insurance, generous paid time off policy.Growth: Do foundational work on systems most companies won’t be building for two years

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding engineer, you won’t just be writing code, you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleBuild and evolve our automation builder, enabling users to create sophisticated multi-agent workflows with easeLeverage AI to deliver smart suggestions for improving prompts and testing agent performanceDevelop features that let users supervise automations, jump in to assist, and teach agents through hands-on feedbackCollaborate closely with product and design to shape the roadmap and bring bold ideas to life on the frontier of agentic AIAbout youHave 2+ years of software engineering experience, mostly in TypeScript and ReactHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Value taking ownership and responsibility for your projects and systems.Studied Computer Science (or related field), or dropped out to build stuffLocated in SF or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackTypeScriptFrontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and ViteBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. As a founding engineer, you’ll help build a new product that’s already hit product–market fit, with a clear path to transforming how entire industries operate. You won’t just be writing code, you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion - including Greylock, Coatue, Lightspeed and Altman Capital. The runway is long. The ambition is high. And the market is wide open.About the roleBuild and evolve our automation builder, enabling users to create sophisticated multi-agent workflows with easeLeverage AI to deliver smart suggestions for improving prompts and testing agent performanceDevelop features that let users supervise automations, jump in to assist, and teach agents through hands-on feedbackCollaborate closely with product and design to shape the roadmap and bring bold ideas to life on the frontier of agentic AIAbout youHave 2+ years of software engineering experience, mostly in TypeScript and ReactHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Value taking ownership and responsibility for your projects and systems.Studied Computer Science (or related field), or dropped out to build stuffLocated in SF or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackTypeScriptFrontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and ViteBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

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About the TeamThe Model Behavior team shapes how our models interact with people. We view the model as the product itself, aiming to create intuitive experiences that exceed user expectations and feel like magic.The team partners closely with research and product teams across the company to improve the real-world usefulness of our models at scale. Our work directly impacts hundreds of millions of users globally and contributes to OpenAI's mission of broadly distributing safe AI.About the RoleWe are looking for a full-stack engineer with experience in observability, tooling, and data pipelines to capture, aggregate, and surface production signals about human–model interactions. You will build systems to understand and act on (1) how users engage with our models and (2) where our models fall short, and develop robust evaluations to define and track improvements in model behavior. These signals power our understanding of real-world model performance and can be captured in creative ways beyond standard logging and metrics, requiring both technical skill and product intuition.This role requires working across the stack — from building front-ends to surface & visualize insights to debugging back-end pipelines — and collaborating with cross-functional teams to ship iteratively under tight deadlines. You should thrive in scrappy environments, quickly prototype solutions, and care deeply about end-user experience and aesthetics. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Do the highest-leverage work to improve models for users at scaleBuild systems to understand and act on (1) how users engage with our models and (2) where our models fall short from delivering the best experiences for our usersDevelop robust evaluations to define and track improvements in model behaviorRapidly prototype and develop tooling, dashboards, and visualizations for researchers and applied teamsDesign, implement, test, and debug code across the research and product stackBuild and maintain robust telemetry, logging, and data pipelines to support production-scale model evaluationCollaborate across research, safety, infrastructure, and product teams to deliver solutions that improve model efficiency and user experienceOwn and support experiments that validate hypotheses around model behaviorYou might thrive in this role if you:Have experience building and maintaining full-stack observability toolingHave built evaluations for capability and model improvementsEnjoy owning 0→1 user-facing products or tools, ideally in a startup or fast-moving environmentShip quickly under competing priorities and tight deadlinesUnderstand how evaluations work and are curious about model training and iterationCare about product polish, usability, and interface aestheticsCollaborate effectively across teams and take on diverse tasks to move work forwardAre a team player, willing to do a variety of tasks that move the team forwardBonus: understand AI/ML workloads and have experience building evaluation systems for themAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and post‑training systems for frontier LLMs and multimodal models. You’ll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tool‑use, long‑context, vision‑language, et al.), create and curate post‑training datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to measure and improve real‑world task and agent performance. Your Impact Build and own evaluation and benchmark suites for reasoning, code, agents, long‑context, and V/LLMs. Create post‑training datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals. Experiment and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to improve real-world task and agent performance. Land research in product: ship improvements into Labelbox workflows, services, and customer‑facing evaluation/quality features; quantify impact with customer and internal metrics. Engage with customer research teams: run pilots, co‑design benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers. What You Bring A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions). A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them. Passion and experience for LLM evaluation and benchmarking. Expertise in training data quality construction, measurement and refinement. The ability to bridge research and application by interpreting new findings and translating them into functional prototypes. A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community. Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow. Exceptional communication and collaboration skills. Applied Research at Labelbox At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$35—$45 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We’re hiring Helix Operators to support our humanoid robot development efforts. This role begins as a hands-on, full-time one-month contract as a Data Collector, where you’ll wear sensors provided by Figure to guide and collect motion data that trains our robots. It’s a great opportunity for anyone excited to get into robotics and grow from within. Depending on your performance, skills, and interests, you may grow into longer-term roles like Robot Operator, Pilot Support, or even a full Humanoid Pilot role. Shift: 8:30 AM – 5:00 PM (Monday to Friday)   Responsibilities:  Wear sensor equipment to guide the robot through human-like motions Collect high-quality motion data used to train AI models Flag any issues or bugs during collection and share daily feedback with the team Follow proper equipment and robot maintenance procedures, including setup and shutdown Maintain a safe and organized workspace during all operations Requirements:  Excellent physical coordination, spatial awareness, and focus Stay on your feet for 8+ hours a day and be engaged for extended periods during data collection Master new physical tasks quickly and find the optimal way to perform them Embrace constructive feedback and strive for constant improvement Thrive in a fast paced environment Bonus Qualifications: Experience working with robots or troubleshooting mechanical systems A passion for helping scale the deployment of learning humanoid robots This is a one-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us. The US base salary range for this full-time position starts at $30/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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The Country Manager, Benelux (Belgium, Netherlands, Luxemburg) will be heading Shield AI´s operational execution and growth in these countries. This person will lead and manage an in-country team, with a demanding job, and a very high level of responsibility and accountability to perform and deliver results but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company. He/she will be responsible for building and strengthening Shield AI’s military and political influence including setting and execution of defined capture strategies. Lead cross-functional integration, serving as the unifying figure across Shield AI´s Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination. What you'll doBuild and strengthen Shield AI’s military and political influence in country through sustained engagement with key political and government stakeholders, and industry partners.​Ensure operational execution, offset obligations, oversee delivery of current contracts and accountability for key performance metrics, team outputs, and customer satisfaction.​Act as the most senior Shield AI representative in country, ensuring compliance with legal, regulatory, and export requirements while embodying Shield AI’s mission, values, and leadership principles.​Set and execute the capture strategy for the country, ensuring long-term growth across sales, partnerships, and influence operations.​Lead cross-functional integration, serving as the unifying figure across Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination.Engage with customers regularly to present and discuss Shield AI product portfolioAttend trade shows, exhibitions, or other industry events to espouse Shield AI productsDevise and coordinate marketing and government relations opportunitiesBuild and devise the structure of industry partnershipsPlan and execute product demonstrationsLead proposal responseDevelop offset strategies Required qualificationsCharismatic leader, with the ability to motivate and inspire others and impart excitement about Shield AI’s mission, technology, and productsWilling to remain in or expatriate to Holland (minimum two-year overall expat assignment)Self-motivated and results-oriented, with demonstrated success in meeting and exceeding critical goals and deadlinesTeam oriented with the ability to communicate with an understanding of nuances associated with being collaborative while also being blunt and forthrightExceptional communicator: strong written, verbal, and presentation skills and the ability to communicate seamlessly at all levels of business and governmentDesire to help build the defining defense technology company of this centuryThorough understanding and knowledge of the military operations and the acquisition process that allows you to maintain strong customer relations>6 Years of relevant military or prior defense industry or other international business experienceStrong international relationships and demonstrated ability to work well across and with various cultures, customs, etc.Strong technical knowledge within the UAV and AI disciplines (or demonstrated desire ability to learn quickly)Technically competent in the myriads of systems that are required to function at the speed of businessBachelor’s Degree or appropriate military education Preferred qualifications Proven leadership and/or operational experience within the defense segmentSpecific strategy or business development experience in Europe (focus BENELUX)Prior UAV or AI business development experience in a defense-related contextDemonstrated understanding of specific Army/Navy/etc. operational scenarios and systemsStrong research and analysis skillsRelevant BENELUX Language Skills (e.g., Dutch, French languages)

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The Deputy Country Manager – Ukraine will support Shield AI’s in-country leadership by driving strategic government engagement, managing cross-functional execution, and helping grow the company’s footprint in Ukraine. This bilingual role (Ukrainian - English) is critical to supporting the company’s programs, government relations, and operational tempo in one of the most dynamic defense markets in the world. You will serve as a close partner to the Country Manager, ensuring execution of Shield AI’s mission in Ukraine and helping shape the long-term vision, growth, and influence of Shield AI across the Ukrainian defense ecosystem. What you'll doAct as a trusted deputy to the Country Manager, helping lead cross-functional initiatives across Business Development, Legal, Program Management, PX, and Customer Operations.Engage frequently with senior stakeholders across the Ukrainian Ministry of Defence, Armed Forces, government institutions, Brave1, and international partner programs to drive influence and opportunity creation.Represent Shield AI at official engagements, conferences, working groups, and technical demonstrations across UkraineHelp coordinate and manage in-country operations, ensuring contract execution, customer satisfaction, and program delivery are achieved to the highest standards.Drive business intelligence collection and analysis, providing the broader team with insights into Ukrainian procurement processes, defense budget allocation, and policy changes.Translate strategic objectives into executable plans and communicate them across internal and external stakeholders in both English and Ukrainian.Draft and support government submissions, licensing requests, policy memos, talking points, and briefing decks for key engagements.Support the planning and execution of V-BAT and Hivemind product demonstrations, joint training initiatives, and local sustainment activities.Ensure operational and legal compliance across in-country activities in coordination with Shield AI Legal and Regulatory teams. Required qualificationsFluent in Ukrainian and English, with outstanding communication and presentation skills in both.Strong understanding of Ukrainian defence, security, and government structures, with a proven ability to navigate and build relationships across key ministries and institutions.At least 6 years of relevant experience in military, defense industry, government affairs, or a related field, with exposure to international business or program delivery.Experience supporting or leading cross-functional teams in high-tempo environments.Self-driven and highly accountable, with a bias for action and results.Exceptional interpersonal skills and emotional intelligence to engage effectively with military and political leadership, partner companies, and internal teams.Demonstrated ability to synthesize complex issues and communicate them clearly to a diverse set of stakeholders.Willing and able to travel domestically and internationally, including to operational and military sites.Bachelor's degree or equivalent military/defense education. Preferred qualificationsDirect experience working with or inside the Ukrainian Ministry of Defence, General Staff, or affiliated defense agencies.Experience supporting U.S. or NATO defense cooperation initiatives in Ukraine.Familiarity with UAV systems, AI/ML-enabled technologies, or electronic warfare.Strong understanding of U.S. Foreign Military Sales (FMS), FMF, or other U.S./EU-funded security assistance programs.Experience engaging with or supporting Brave1 or other Ukrainian defense innovation platforms.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role The Advanced Technologies Group (ATG) at Metropolis is looking for a Principal Software Engineer to lead advancements in our Edge platform as we expand the Metropolis mission to new areas beyond parking.  ATG is developing and deploying a broad suite of technologies that enable “AI for the Real World” including cameras, edge compute, sensors, displays, and robotics.  The Edge platform is our mission critical backend system that consumes and organizes event data from those field deployed hardware and ML systems, integrating real-time hardware events and machine learning outputs into a core mobility identification platform that powers our business applications. In this role, you will guide software development of the Edge platform as we expand into new business verticals, and add both new capabilities and new devices into the ecosystem.  As a senior member of the ATG team, you will work with leadership to craft a technical vision and strategy for ATG that propels our entire suite of core technologies into the next phase of growth. This role will provide significant thought leadership, shape a strong engineering-led culture, and play a critical role in the company’s success by creating foundational capabilities on which Metropolis builds remarkable experiences. The ideal candidate will have an end-to-end systems engineering mindset, looking for opportunities well beyond just the software of our Edge platform and into hardware, edge device software and machine learning systems.  We are looking for a big thinker who can connect the dots between disparate technologies and systems to move Metropolis forward through ambiguity, but also who has the practical experience to drive improvements to our existing production systems. If you are energized by working across multiple teams and technologies together to solve real world problems at scale, and have a background with distributed hardware / ML / Software systems, this role is for you!   Responsibilities  Define technical direction for ATG software that organizes the teams to support existing edge systems, develops new capabilities, and creates a strategy for the future Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem.   Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels   Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline 14+ years of experience with at least 4+ years of experience as a hands-on senior, staff or principal engineer Proven track record of designing and delivering large-scale distributed systems and software products in high volume, mission critical applications Experience developing technical strategy, getting buy-in from business and technology stakeholders, and guiding team(s) through execution Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes. Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems  Strong fundamental computer science skills, and expert level knowledge of Scala, Java or other languages that run on the JVM. Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products. Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high growth environments is a plus   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $245,000.00 to $290,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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About the TeamAt OpenAI, our User Operations team safeguards our products and users from legal risk, regulatory non-compliance, fraud, and abuse. The team operates at the intersection of operations, compliance, and user trust, embedded within the broader User Operations organization and collaborating cross-functionally with Legal, Policy, Engineering, Product, and external vendors.We support a global and diverse user base across OpenAI’s suite of products ChatGPT, API, Enterprise offerings, and developer tools by managing sensitive inbound tickets, regulatory obligations, and fraud-related escalations. Every user-facing action is grounded in our commitment to legal integrity, ethical practice, and regulatory excellence.About the RoleWe are seeking a sharp, adaptive, and operations-minded Fraud & Risk Operations Analyst to help scale and evolve OpenAI’s global compliance support infrastructure.In this role, you will own high-sensitivity workflows involving trust and safety, global regulatory escalations, privacy rights requests, intellectual property, and account fraud. You’ll serve as both a frontline operator and strategic partner, triaging and resolving complex cases while also shaping the systems, documentation, and vendor processes that support OpenAI’s regulatory and compliance goals.This role is essential to building scalable, high-integrity operations that protect user rights, meet our obligations under emerging regulations, and reduce OpenAI’s risk exposure. You’ll also contribute to multi-phase vendor transitions and automation efforts that support our long-term operational model.Please note: This role may involve exposure to sensitive or concerning content, including complaints involving harassment, fraud, or regulatory violations. Strong personal discretion, empathy, and resilience are essential.In This Role, You Will:Handle and resolve complex user issues involving:Fraud, impersonation, and account access abuseTrust & Safety incidentsRegulatory, audit, or compliance inquiries and complaintsIntellectual property matters (e.g., copyright takedowns, ownership disputes)AI governance and emerging regulatory frameworks (e.g., EU AI Act, DSA/OSA)Perform risk evaluations and investigations using internal tools, documentation, and third-party dataAct as incident manager for highly sensitive reviews requiring nuanced interpretation of legal and regulatory standardsInterface directly with Legal, Privacy, Product, and Support teams to coordinate escalations and resolution pathsPartner with Legal, Privacy, Policy, and Ops to implement world-class operational workflows for compliance and riskBuild and maintain tooling, escalation decision trees, playbooks, and knowledge articlesContribute to vendor training and governance models, especially during transitions and ramp-up phasesLead or participate in cross-functional initiatives that strengthen our regulatory, fraud, and legal infrastructureMonitor operational health via case quality audits, SLA tracking, escalation accuracy, and user satisfaction metricsYou Might Thrive in This Role If You:Have 5+ years of experience in legal operations, regulatory compliance, fraud prevention, or trust & safety especially in a global or high-growth tech environmentAre deeply familiar with regulatory frameworks such as GDPR, CCPA, DMCA, EU AI Act, DSA/OSAHave partnered with in-house counsel, DPOs, or external regulators on audits or escalationsUnderstand tiered support structures and have worked with vendor operations at scaleBring a structured, systems-first mindset to operational governance and risk evaluationCommunicate clearly, empathetically, and effectively especially in writing responses to sensitive issuesOperate well in ambiguity and can manage multiple priorities simultaneously with speed and precisionThrive in high-autonomy environments and hold a high bar for ownership and integrityAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Hello! We’re Cashea 👋, and we're on a mission to bring optimism back to Venezuelans 🇻🇪 by building innovative financial products. Since our launch in 2022, we've been dedicated to democratizing financial inclusion through cutting-edge technology. In that time, we've grown to serve over 6 million customers, developed a range of products for both consumers and merchants, and become a trusted name in Venezuela—winning both minds and hearts 💛.About the role: As Data Engineering Manager, you will design and develop scalable real-time and batch data pipelines to support analytical products like dashboards, recommendation engines, and automation tools. You will collaborate with data scientists and business teams to create APIs and data services that expose data and machine learning outputs. You’ll build backend infrastructure for analytics platforms using GCP services like BigQuery, Dataflow, and Pub/Sub, and work with front-end teams to support the creation of user-facing analytical tools. Additionally, you will lead the implementation of cost-effective architectures, ensure data quality and security, and mentor junior engineers while contributing to a strong engineering culture. Overall you will...Design and develop scalable, real-time and batch pipelines to support analytical products such as dashboards, recommendation engines, and task automation tools.Collaborate with data scientists and business teams to create APIs and data services that expose data and machine learning outputs to internal and external consumers.Build the backend infrastructure for advanced analytics platforms using GCP services such as BigQuery, Dataflow, and Pub/Sub or similar.Work with front-end and full-stack developers to support the creation of user-facing analytical tools and dashboards.Lead the implementation of scalable, cost-effective architectures for data products.Participate in the design of data models and schemas that support analytics-driven software.Ensure data quality, security, and compliance with regulatory requirements such as GDPR and PCI DSS.Mentor junior engineers and contribute to building a strong engineering culture.Qualifications6+ years of experience in Data Architecture and/or Software Engineering, plus at least +1 years of experience as Lead, ideally in fintech, SaaS, or analytics-heavy industries.Strong experience with GCP technologies is mandatory (BigQuery, Dataflow, Pub/Sub, Cloud Run) Proficiency in building RESTful APIs or other data services for analytics consumption.Expertise in ETL/ELT pipelines using tools like dbt/Dataform or Airflow.Solid programming skills in Spark, Python or Java and SQL expertise.Familiarity with creating infrastructure for data products and integrating with front-end or external systems.Knowledge of governance and data security standards.Mentor junior engineers and contribute to building a strong engineering culture.Ability to work cross-functionally with data scientists, product managers, and business teams.Spanish and English proficiency

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About the TeamAt OpenAI, our Trust & Safety operations are central to protecting OpenAI’s platform and users from abuse. We serve a diverse customer base, ranging from individual users and early-stage startups to global enterprises, across ChatGPT and our API (and beyond!). Operating within our Support organization, our Trust & Safety Operations team safeguards the platform and its users by detecting, investigating, and mitigating risks across content, accounts, fraud, and emerging threats. The team works closely with Product, Engineering, Legal, Policy, Go To Market and Operations teams to ensure we're delivering the best possible experience to our users at scaleAbout the RoleWe are looking for a Lead, Global Safety Response Operations to lead our core safety delivery team. In this role, you will oversee daily operations, manage vendor and internal workflows, ensure operational excellence, and build out the team’s future incident response function.You will work closely with Policy, Legal, Integrity, and GTM teams to ensure that safety workflows are executed accurately, efficiently, and globally. Over time, you will lead the team in evolving from day-to-day operations to a fully scaled 24/7 global response function.Please note: This role may involve handling sensitive content, including material that may be highly confidential, sexual, violent, or otherwise disturbing.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Lead and develop a team of internal safety analysts and vendor partners across global regions (AMER, EMEA, APAC).Oversee execution of safety workflows, including vendor/internal escalations, model labeling, and quality review programs.Serve as point of escalation for high-priority safety incidents, coordinating with Legal, Product, Policy, and Vendor Ops.Build and maintain operational playbooks, runbooks, and incident management processes to ensure rapid, high-quality response.Partner with Vendor Operations to optimize coverage, training, and performance management for external teams.Define and track operational metrics, SLAs, and KPIs to ensure operational excellence and identify process improvements.Drive initiatives to increase automation, efficiency, and data-driven insights in safety operations. You might thrive in this role if you:Have 8+ years in Trust & Safety, Risk Operations, or Incident Response, including 3+ years of people management experience.Bring proven experience leading multi-regional teams and vendor operations in a tech or online platform environment.Are comfortable triaging complex escalations and coordinating across legal, engineering, and operations functions.Have a track record of process improvement and using data to drive operational decisions.Thrive in ambiguous, high-stakes environments and can balance immediate response with long-term operational maturity.Maintain a collaborative, humble approach and a strong bias for action.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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OpenAI is looking for a System Software Engineer to design, implement, and debug the foundational software that enables our products. You’ll work across the OS stack—kernel, drivers, and userspace daemons—and own pipelines for building and updating device images. Your work will span performance tuning, security hardening, and deep system debugging.We’re looking for engineers who thrive in complex, cross-disciplinary environments, can take ownership from concept to release, and are passionate about shipping robust, production-grade systems.In this role, you will:Design, implement, and debug kernel modules, device drivers, and userspace daemonsConfigure and maintain the OS: kernel, initramfs, init services, udev rules, networking, and security hardeningBuild and operate image/OTA pipelines (Yocto/Buildroot, package management, A/B updates, dm-verity)Instrument and analyze performance with perf, eBPF, ftrace; optimize CPU, memory, I/O, and power usageOwn system observability and reliability: logging, crash capture, watchdogs, and field diagnosticsCollaborate with hardware, camera/vision, and application teams to define interfaces and deliver featuresEstablish strong engineering practices: code review, CI, reproducible builds, and release managementWork with vendors and support system builds in the factoryYou might thrive in this role if you:Have deep experience shipping Linux-based products on hardware devices (arm64 or x86)Are proficient in C/C++ and comfortable with embedded Linux internals (drivers, IRQs, power management, filesystems, networking)Have strong systems debugging skills with gdb, strace, perf/eBPF, jtag, and kernel logsUnderstand kernel device tree overlays, I2S, I2C, SPI, CSI/DSIAre fluent in userspace foundations: systemd, D-Bus, sockets/IPC, udev, networking tools, shell/PythonHave experience building OS images and packages (Yocto/Buildroot, Debian/RPM, Docker) and OTA updatesBonus points for:Upstream contributions to Linux or major subsystemsExperience with secure boot, platform security, SELinux/AppArmor, TrustZone/OP-TEEGraphics/ISP or accelerator driver exposure (GPU, V4L2, media/codec, DMA, shared memory)Wireless connectivity stack experience (Wi-Fi/BLE, NetworkManager, wpa_supplicant)Production observability at the edge (symbolized crash reports, metrics, remote diagnostics)Experience in robotics, mobile, or other resource-constrained devicesFamiliarity with on-device ML accelerators, audio pipelines (ALSA, DSP, WebRTC, gstreamer)Knowledge of protobuf and other serialization formatsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Why voize? Because we’re more than just a job!At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.voize is YCombinator-funded, already in use at over 1000 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually - time spent on people instead of paperwork.But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.As a dynamic team, we blend cutting-edge technology with social impact. And now, we are looking for You to join us!💡 Your Mission: Delight customers, optimise processes!As a Solutions Engineer at voize, you own the full technical journey of our customers - from the first presales check to ongoing operations. You’re the primary technical point of contact, bridging voize and customer IT. By validating infrastructure, configuring secure setups, solving technical issues, and scaling deployments, you ensure a smooth experience and long-term success.🚀 Your Daily Business – No two days are alikeSupport pre-sales calls to assess infrastructure, spot blockers, and guide evaluationsMultiple years of experience as a Linux or Windows Administrator.Troubleshoot issues across systems, networks, browsers, and interfaces with clarity and empathySupport technical scaling (e.g., growing user bases, infra changes)Document setups and technical handoffs for smooth internal collaborationFlag recurring issues and contribute to internal tools, docs, or processes🤝 Your Skillset – What you bring to the tableExpert Windows/Linux system administration and network configuration skills (firewalls, proxies, routing, MDMs, APIs)Solid experience with virtualisation, Docker, web servers (Nginx, IIS), and load balancingStrong troubleshooting skills across APIs, browsers, infrastructure, and devicesClear communicator with empathy for both technical and non-technical usersProactive, self-directed, and skilled in documentation and technical handoffsExperience with start-ups will help you thrive in this role 🎯 Our Success Mindset – How we work at voizeYou’re confident in German and English to support customers and work closely with the team - we’ll support you with language courses if needed.You’re resilient - you see challenges as opportunities, not obstaclesYou work iteratively - test, learn, and improve instead of aiming for perfectionYou value open feedback and contribute to a positive, transparent team culture🌱 Growing together – what you can expect at voizeBecome a co-creator of our success with stock optionsOur office is in Berlin, with a flexible remote work culture, and we are pet-friendly!Flexible working hours because you know when you work best!Access to various learning platforms (e.g., Blinkist, Audible, etc.)Open culture with regular work weeks and team events to collaborate and bond.Rapid personal growth in a fast-growing startup.Your work will make a real impact, helping alleviate the workload for healthcare professionalsFree Germany Transport Ticket and Urban Sports Club membership30 days of vacation – plus your birthday off✨ Ready to talk? Apply now! 🚀We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We are looking for a dynamic clinical project manager who will report to the Head of Clinical Operations to drive our clinical study roadmaps by partnering with internal and external stakeholders. Scientific and project management skills will be key to success in driving the necessary studies for pre- and post-market assessment of our products, as well as clinical trial services.  What You'll Do Responsible for, and must have a demonstrated ability to successfully develop, implement, manage, and complete clinical trials operationally within designated programs and timelines. Lead the development and communication of presentations to keep internal and external teams informed  of progress, timelines, and risks- ensuring alignment and successful completion of projects. Generate high quality trial documentation that accurately captures trial activities and workflows, with high attention to detail. Manage day to day monitoring of study activities and proactively address any issues that may arise. Partner with cross functional internal teams (Engineering, Clinical Science, BioPharma Laboratory, etc.) and external stakeholders to manage, adjust, and revise project timelines/budgets as necessary. Must be able to resolve problems using FDA and other regulations, adherence to GCP requirements, and through regular site interactions. Demonstrate excellent interpersonal skills, ability to bring teams together to successfully plan and execute PathAI clinical trials, and ability to prioritize with multiple competing priorities. Manage external vendors, as needed. What You Bring 3+ years of project management experience in medical device and/or drug development clinical trials and a BS or BA in a relevant scientific discipline, or 1-2+ years of experience with an M.S. or PhD in a relevant scientific discipline. Robust understanding of clinical trial regulations, GCP and GCLP. Experience in digital pathology, radiology or other imaging technology-based clinical trials is highly preferred. Good organizational skills, attentive to details, and able to multitask. Project Management Certification is a plus. Strong understanding of laboratory practices, histology, and pathology preferred. Experience in MASH, IBD, and Oncology preferred. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 120 talented people 🚀 Our annual recurring revenue is growing over 7x year-over-year ⭐️ With +118k GitHub stars, we are in the top 50 most popular projects of all time on Github 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior Product Engineer on the Payday team (Enterprise features), you won't just write code - you’ll solve business problems for our enterprise users. Your primary focus will be on designing, building, and delivering high-impact features that address the needs of larger teams using n8n. You’ll own features end-to-end and work across the stack, collaborating closely with Product and Design to translate complex requirements into robust, scalable, and user-friendly solutions. We're looking for someone who brings strong engineering skills and a product mindset - someone who cares about user impact, focusing on why we're building something just as much as how. What we've shipped To give you a better idea of the impact you can have, here are some examples of features and improvements recently delivered for our enterprise users:Centralised insights dashboard providing administrators with a real-time overview of instance health, and workflow execution performance, enabling better monitoring, visibility, and confidence in managing large-scale n8n deployments.Enhanced Role-Based Access Control (RBAC) allowing allowing administrators to precisely control user access to workflows, credentials, and execution data, improving security and compliance.Git-backed Environments to enable teams to adopt safer development lifecycles (e.g. Development, Staging, Production), allowing controlled versioning and promotion of workflows without impacting live automation workflows. What you'll bring5+ years of professional software engineering experience, primarily focused on building web applications or SaaS products.Strong proficiency in Node.js and TypeScript/JavaScript.Experience working with Vue.js or other modern frontend frameworks (e.g. React, Angular).Experience in designing, building, and consuming robust APIs (e.g. RESTful, GraphQL).Solid understanding of relational databases (e.g. PostgreSQL) and SQL.Experience shipping features end-to-end in a product-driven environment, demonstrating ownership from concept to deployment.Experience with modern testing practices and frameworks (e.g. Jest, Vitest, Cypress).Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teamsYou’re curious and you love learning new things.You value feedback, believe in continuous learning, and enjoy working with others to create a positive team environment.Nice to have / bonus pointsExperience developing features specifically for enterprise software (e.g. Role-Based Access Control, Single Sign-On).Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).Experience contributing to or working with open-source projects.Familiarity with workflow automation concepts or platforms. Interested in learning more about our engineering teams? Check out our different teams to get a better understanding of what they do: Discover Engineering at n8n. Please check all our engineering openings and apply to the team that feels like the best fit for you.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? NICE Actimize is currently seeking an experienced Data Scientist to join our dynamic and growing AML Analytics Services team. How will you make an impact? Perform analysis to support the deployment of AML analytical models Improve the quality and actual implementation of computational algorithms and tools Optimize the performance of NICE Actimize AML products and improve customers’ experience with our AML solutions. Define product requirements for analytics and provide feedback to the product team on ways in which product may be improved. Develop and enhance our solution-specific scores. Should be able to deliver the work within timelines. Measure the quality of the analytical performance of AML Products. Help maintain and improve model development methodologies/practices. Have you got what it takes? Total experience : 2 - 4 years Strong data analytical skills and well versed with statistical concepts. Strong experience with using SQL and EXCEL. Understanding of database concepts, data integration. Strong programming skills in Python version 3.7 and above and ability to rapidly learn new programming tools. Experience of building and deploying classification, regression, clustering machine learning models at an enterprise level. Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc. Good oral and written communications skills, and ability to interact with engineers, software developers, project managers, business analysts, product managers and with clients. Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc. Hands-on experience with AWS Cloud computing services such as Sage maker, EC2. Strong commitment to quality. Customer facing experience – a plus Knowledge of KNIME – a plus. Exposure to MLOps – a plus. Knowledge of Optimization analytics. Knowledge of Data Robot – a plus. Well versed with deploying ML Models using Containers. Experience in full AI/ML life cycle from model development, training, deployment, testing, refining and iterating. Passion for financial data and problem solving, understanding that financial data comes in different formats and sizes. Experience in building robust data pipelines – a plus. Should be experienced in building Enterprise Machine Learning models. Highly experienced in handling customer interactions. Experienced in creating standard model development reports   What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8212 Reporting into: Tech Manager Role Type: Individual contributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.As a remote first company, we require minimum 25Mbps consumer grade broadband connection. What You’ll DoWe are seeking a skilled Sr. Cloud Security Engineer with strong focus on AWS to join our growing team. The ideal candidate will be a self-starter with a "learn it all" attitude and a strong desire to stay current with the latest trends and technologies in the field. In this role, you will be responsible for designing, implementing, maintaining, and validating security solutions for our AWS cloud infrastructure. Your role will involve working closely with development and engineering teams to ensure secure cloud architecture and implementation.This role will be responsible for…..Strong experience with modern SDLC tools and branching strategiesDesign and implement security controls across our AWS environment (e.g., IAM, SCPs, VPC security, S3 bucket policies, security groups, key management, logging).Continuously monitor and improve cloud posture by managing and tuning services like GuardDuty, Security Hub, AWS WAF, CloudTrail, and InspectorDevelop and maintain security policies, standards, and procedures to ensure compliance with industry standards such as SOC2, GDPR, ISO27001, FedRAMP, etc.Evaluate and recommend new security technologies, tools, and techniques to improve the security posture of our AWS cloud infrastructure.Implement and maintain Gitlab CI/CD pipelines and tools for automated security testing and scanning of AWS resources.Conduct threat modeling, architecture reviews, and risk assessments for cloud deployments and new featuresImplementing security features and monitoring tools, performing periodic security assessments to verify best practice configuration and secure systems hardening in the cloudResponding swiftly to new and emerging security threats and vulnerabilities with the cloudWhere required, investigate suspected attacks and help manage security incidents including providing post-mortem analysis, identify causes, develop solutions and preventive measuresImplement process and technologies that reduce cloud security deficiencies and help develop creative reporting mechanisms including metrics/key themes that communicate risk to business owners and leadershipParticipate in development and implementation of cloud security standards and cloud service certificationProvide subject matter expertise to assist with building detective controls for malicious activity within the AWS environment.Define and enforce identity and access management (IAM) best practices, including least privilege policies, federated identity, role-based access control (RBAC), and automated remediation.Demonstrate a commitment to integrity, process improvement, and customer satisfaction What You’ll BringIn-depth knowledge of Terraform and GitlabDeep knowledge of AWS services and security architectureStrong understanding of AWS security and data security principlesExperience with threat modeling and risk assessmentsExcellent communication skills and ability to explain technical concepts to non-technical stakeholdersAbility to work independently and as part of a team, and a strong sense of ownership and accountabilityKnowledge of compliance standards such as SOC2, GDPR, ISO27001, FedRAMP, etc.Familiarity with cybersecurity frameworks such as NIST, CIS, and MITRE ATT&CKKnowledge of Data Loss Prevention (DLP) including data classification, identification, and protectionBroad knowledge across the Security domain, as well as deep focus in one (or more) areas such as: (Logs and events processing, Incident Management, detection, response tool development, etc.)What Sets You Apart?5+ years of general cybersecurity field experience5+ years of experience in securing cloud environmentsAWS Certified Security - SpecialtyCISSP or relevant security certifications preferred5+ Experience securing an Amazon Web Services (AWS) environment.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.In accordance with various State’s transparency regulations, we provide the following salary range information for this position:Base salary range: $185,000 - $215,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: This role may also be eligible for an equity package (in the form of stock options). If any other compensation benefits apply, they will be discussed during the interview process.Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the flexibility to work in the way that supports you and brings out your best.Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.Application NoteIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Government & Public Services arena. Because of the potential to work with our clients in the National Security space, you will need to be eligible for Security Clearance, details of which are outlined when you click through to apply. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineerings are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GPS or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.